11607

Genetically Improved CUDA kernels for StereoCamera

W. B. Langdon, M. Harman
Department of Computer Science, UCL
UCL, Technical report RN/14/02, 2014

@article{langdon2014genetically,

   title={Genetically Improved CUDA kernels for StereoCamera},

   author={Langdon, WB and Harman, M},

   journal={RN},

   volume={14},

   number={02},

   pages={02},

   year={2014}

}

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Genetic Programming (GP) may dramatically increase the performance of software written by domain experts. GP and autotuning are used to optimise and refactor legacy GPGPU C code for modern parallel graphics hardware and software. Speed ups of more than six times on recent nVidia GPU cards are reported compared to the original kernel on the same hardware.
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